欢迎访问我的个人主页：https://jingzzeng.github.io/

Education

2017/08 - 2022/05: 佛罗里达州立大学，统计学，博士

2013/08 - 2017/06: 中国科学技术大学，数学与应用数学，学士

Experience

2026/02 - 至今：中国科学技术大学，管理学院，特任研究员

2022/07 - 2026/01：中国科学技术大学，管理学院，特任副教授

Research Interests

数据降维，高维统计，张量数据分析，稳健统计。

Publications

("*" indicates equally contribution.)

1. Huang, W., Mai, Q. and Zeng, J. (2026) Sparse Robust Discriminant Analysis for High-Dimensional and Heavy-Tailed Data. Biometrics. Accepted.

2. *Zeng, J., *Wang, N., and Zhang, X. (2026). Envelope Inverse Regression for Dimension Reduction: A Review and New Perspectives. Journal of Systems Science and Complexity, 39(1), 284-308.

3. *Chen, L. and *Zeng, J. (2024). Dimension Reduction for Extreme Regression via Contour Projection. Statistics Sinica. Accepted.
   

4. Zeng, J., Mai, Q., and Zhang, X. (2024). Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction. Journal of the American Statistical Association, 119(545), 343-355.

5. *Li, L., *Zeng, J., and *Zhang, X. (2023). Generalized Liquid Association Analysis for Multimodal Data Integration. Journal of the American Statistical Association, 118(543), 1984-1996.

6. Zeng, J., Zhang, X., and Mai, Q. (2023). An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions. Statistica Sinica, 33:1249-1270.

7. Zeng, J., Wang, W., and Zhang, X. (2021). TRES: An R Package for Tensor Regression and Envelope Algorithms. Journal of Statistical Software, 99, 1-31.

Invited Chapter

1. Zeng, J., Zhang, X. (2024). Tensor and Multimodal Data Analysis. In: Gaw, N., Pardalos, P.M., Gahrooei, M.R. (eds) Multimodal and Tensor Data Analytics for Industrial Systems Improvement. Springer Optimization and Its Applications, vol 211. Springer, Cham.